Decision Making in Natural Resource Management: A Structured, Adaptive Approach

✍ Scribed by Michael J. Conroy, James T. Peterson(auth.)

• Publisher: Wiley-Blackwell
• Year: 2013
• Tongue: English
• Leaves: 465
• Category: Library

✦ Synopsis

This book is intended for use by natural resource managers and scientists, and students in the fields of natural resource management, ecology, and conservation biology, who are confronted with complex and difficult decision making problems. The book takes readers through the process of developing a structured approach to decision making, by firstly deconstructing decisions into component parts, which are each fully analyzed and then reassembled to form a working decision model.  The book integrates common-sense ideas about problem definitions, such as the need for decisions to be driven by explicit objectives, with sophisticated approaches for modeling decision influence and incorporating feedback from monitoring programs into decision making via adaptive management. Numerous worked examples are provided for illustration, along with detailed case studies illustrating the authors’ experience in applying structured approaches. There is also a series of detailed technical appendices.  An accompanying website provides computer code and data used in the worked examples.

Additional resources for this book can be found at: www.wiley.com/go/conroy/naturalresourcemanagement.

Content:
Chapter 1 Introduction: Why a Structured Approach in Natural Resources? (pages 1–12):
Chapter 2 Elements of Structured Decision Making (pages 13–23):
Chapter 3 Identifying and Quantifying Objectives in Natural Resource Management (pages 24–56):
Chapter 4 Working with Stakeholders in Natural Resource Management (pages 57–76):
Chapter 5 Statistics and Decision Making (pages 77–146):
Chapter 6 Modeling the Influence of Decisions (pages 147–191):
Chapter 7 Identifying and Reducing Uncertainty in Decision Making (pages 192–231):
Chapter 8 Methods for Obtaining Optimal Decisions (pages 232–259):
Chapter 9 Case Studies (pages 261–293):
Chapter 10 Summary, Lessons Learned, and Recommendations (pages 294–305):